| accptHB | QikProp predicted hydrogen-bond acceptor count |
| ADMET | absorption, distribution, metabolism, excretion, toxicity |
| AI | artificial intelligence |
| AJCC | American Joint Committee on Cancer |
| APC | adenomatous polyposis coli |
| AUC | area under the ROC curve |
| AXIN2 | axis-inhibition protein 2 |
| BLISS | Balanced Latent Integration with Stability Selection (this work) |
| BRICS | Breaking of Retrosynthetically Interesting Chemical Substructures |
| bRo5 | beyond rule of five |
| CCND1 | cyclin D1 gene |
| CDK4/6 | cyclin-dependent kinase 4 and 6 |
| CMS | consensus molecular subtypes (of colorectal cancer) |
| CNV | copy-number variation |
| CpG | cytosine–phosphate–guanine dinucleotide |
| CRBN | cereblon (E3 ligase substrate receptor) |
| CSV | comma-separated values (file format) |
| DC50 | drug concentration causing 50% degradation |
| Dmax | maximum percent degradation |
| DCAF1 | DDB1 and CUL4-associated factor 1 |
| DNA | deoxyribonucleic acid |
| donorHB | QikProp predicted hydrogen-bond donor count |
| ETKDGv3 | Experimental-Torsion Knowledge Distance Geometry, version 3 |
| FDR | false-discovery rate |
| GDP | guanosine-5′-diphosphate |
| GELU | Gaussian Error Linear Unit |
| Glide SP | Glide Standard Precision (Schrödinger docking mode) |
| GPU | graphics processing unit |
| hERG | human Ether-à-go-go-Related Gene (potassium channel) |
| HOA | human oral absorption (qualitative class) |
| %HOA | QikProp predicted percent human oral absorption |
| IC50 | concentration causing 50% inhibition |
| IP(eV) | QikProp predicted ionisation potential (electronvolts) |
| KL | Kullback–Leibler (divergence) |
| KLHDC2 | kelch domain-containing protein 2 |
| LEF1 | lymphoid-enhancer-binding factor 1 |
| LigPrep | Schrödinger ligand preparation utility |
| MAPK | mitogen-activated protein kinase |
| MDCK | Madin–Darby canine kidney (cell line) |
| #metab | QikProp predicted number of likely metabolic reactions |
| miRNA | microRNA |
| MM-GBSA | molecular mechanics combined with the generalised-Born/surface-area implicit-solvent model |
| MMFF94s | Merck Molecular Force Field 94, static variant |
| MOFA | multi-omics factor analysis |
| mRNA | messenger ribonucleic acid |
| MSI(-H) | microsatellite instability (high) |
| MSigDB | Molecular Signatures Database |
| MSS | microsatellite stable |
| mTOR | mechanistic (mammalian) target of rapamycin |
| MW | molecular weight |
| MYC | MYC proto-oncogene |
| #NandO | QikProp count of nitrogen + oxygen atoms |
| OPLS_2005/OPLS4 | Optimised Potentials for Liquid Simulations force fields |
| PDB | Protein Data Bank |
| PEG | polyethylene glycol |
| PI3K | phosphoinositide 3-kinase |
| pKa | negative base-10 logarithm of the acid dissociation constant |
| PROPKA | empirical pKa prediction program |
| PROTAC | proteolysis-targeting chimera |
| PROTAC-DB | PROTAC database (Liu et al. [55], NAR 2025) |
| PSA | polar surface area (Å2) |
| QPlogBB | QikProp predicted log(brain/blood partition coefficient) |
| QPlogHERG | QikProp predicted log(IC50) for hERG K+ channel blockade |
| QPlogKhsa | QikProp predicted log(human serum albumin binding constant) |
| QPlogKp | QikProp predicted skin permeability (log cm h−1) |
| QPlogPC16 | QikProp predicted log(hexadecane/gas partition coefficient) |
| QPlogPo/w | QikProp predicted log(octanol/water partition coefficient) |
| QPlogPoct | QikProp predicted log(octanol/gas partition coefficient) |
| QPlogPw | QikProp predicted log(water/gas partition coefficient) |
| QPlogS | QikProp predicted log(aqueous solubility, mol L−1) |
| QPPCaco | QikProp predicted Caco-2 cell permeability (nm s−1) |
| QPPMDCK | QikProp predicted MDCK cell permeability (nm s−1) |
| QPpolrz | QikProp predicted molecular polarisability (Å3) |
| RDKit | open-source cheminformatics toolkit (rdkit.org) |
| #ringatoms | QikProp count of atoms in rings |
| RMSD | root-mean-square deviation |
| ROC | receiver-operating-characteristic |
| #rotor | QikProp count of rotatable bonds |
| RPPA | reverse-phase protein array |
| SASA | solvent-accessible surface area (Å2) |
| SDF | structure-data file (format) |
| SMARTS | SMILES Arbitrary Target Specification (substructure language) |
| SMILES | Simplified Molecular-Input Line-Entry System |
| SNF | similarity network fusion |
| #stars | QikProp structural alerts (descriptors outside the 95% range) |
| Super.FELT | supervised feature-extraction learning using triplet loss [26] |
| TCGA | The Cancer Genome Atlas |
| TROP2 | trophoblast cell-surface antigen 2 |
| USR | Ultrafast Shape Recognition |
| USRCAT | USR with Chemical Features (atom-type-augmented shape descriptor) |
| VCB | VHL / Elongin-C / Elongin-B (E3-ligase complex) |
| VHL | von Hippel–Lindau (E3 ligase substrate receptor) |
| VSGB | Variable-dielectric Surface Generalised-Born (Schrödinger implicit-solvent model) |
| XGBoost | extreme gradient boosting |
| ΔG_bind | Gibbs free energy of binding (kcal mol−1) |